Showing 4 open source projects for "computer adaptive testing"

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    ClassyVision

    ClassyVision

    An end-to-end PyTorch framework for image and video classification

    Classy Vision is a PyTorch-based framework designed for large-scale training and deployment of state-of-the-art image and video classification models. Developed by Facebook Research, it serves as an end-to-end system that simplifies the process of training at scale, reducing redundancy and friction in moving from research to production. Unlike traditional computer vision libraries that focus solely on modular components, Classy Vision provides a complete and unified framework, featuring...
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  • 2
    A-Frame Inspector

    A-Frame Inspector

    Visual inspector tool for A-Frame

    ...Record and replay headset and controller pose and events. Hit record, move around inside the VR headset, interact with objects with the controller. Then replay that recording back on any computer for rapid development and testing. Reduce the amount of time going in and out of the headset. The A-Frame Inspector is a visual tool for inspecting and tweaking scenes. The Inspector is similar to the browser’s DOM inspector but tailored for 3D and A-Frame. Not only can we open our local scenes inside the Inspector, we can open any A-Frame scene in the wild using the Inspector (as long as the author has not explicitly disabled it).
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  • 3
    LA HERRAMIENTA CASE DEVSON-UD ES UN APLICATIVO CREADO COMO PRODUCTO FINAL DEL TRABAJO DE GRADO "HERRAMIENTA CASE PARA LA GENERACIÓN DE CÓDIGO JSON" DE LA UNIVERSIDAD DISTRITAL FRANCISCO JOSÉ DE CALDAS. SUS OBJETIVOS PRINCIPALES SON:PERMITIR MODELAR ESTRUCTURAS DE DATOS, GENERAR CÓDIGO JSON Y ADAPTARSE A ALGUNOS MOTORES EXISTENTES DE BASES DE DATOS TANTO RELACIONALES COMO NOSQL.
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  • 4

    CLUE - C Learning Undergrad Environment

    Tools to support the learning of the C programming language

    CLUE (C Learning Undergraduate Environment) is a software allowing students to work on assignments in the C language while benefiting from support for peer testing, hyper-linked tutorials to help them understand compiler error messages, detection of "novice errors" with warnings hyper-linked to tutorials. Sponsored by National Science Foundation under award CCLI #0836863.
    Downloads: 0 This Week
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